import argparse


def args_parser():
  parser = argparse.ArgumentParser()
  
  # federated arguments (Notation for the arguments followed from paper)
  parser.add_argument('--epochs', type=int, default=10, help="number of rounds of training")
  parser.add_argument('--num_users', type=int, default=100, help="number of users: K")
  parser.add_argument('--frac', type=float, default=0.1, help='the fraction of clients: C')
  parser.add_argument('--local_ep', type=int, default=10, help="the number of local epochs: E")
  parser.add_argument('--local_bs', type=int, default=10, help="local batch size: B")
  parser.add_argument('--lr', type=float, default=0.01, help='learning rate')
  parser.add_argument('--momentum', type=float, default=0.5, help='SGD momentum (default: 0.5)')
  
  # model arguments
  parser.add_argument('--model', type=str, default='mlp', help='model name')
  parser.add_argument('--kernel_num', type=int, default=9, help='number of each kind of kernel')
  parser.add_argument('--kernel_sizes', type=str, default='3,4,5',
                      help='comma-separated kernel size to use for convolution')
  parser.add_argument('--num_channels', type=int, default=1, help="number  of channels of imgs")
  parser.add_argument('--norm', type=str, default='batch_norm', help="batch_norm, layer_norm, or None")
  parser.add_argument('--num_filters', type=int, default=32,
                      help="number of filters for conv nets -- 32 for  mini-imagenet, 64 for omiglot.")
  parser.add_argument('--max_pool', type=str, default='True',
                      help="Whether use max pooling rather than strided convolutions")
  
  # other arguments
  parser.add_argument('--dataset', type=str, default='mnist', help="name of dataset")
  parser.add_argument('--num_classes', type=int, default=10, help="number of classes")
  parser.add_argument('--gpu', default=True, help="To use cuda, set to a specific GPU ID. Default set to use CPU.")
  parser.add_argument('--optimizer', type=str, default='sgd', help="type of optimizer")
  parser.add_argument('--iid', type=int, default=1, help='Default set to IID. Set to 0 for non-IID.')
  parser.add_argument('--unqual', type=int, default=0,
                      help='whether to use unequal data splits for non-i.i.d setting (use 0 for equal splits)')
  parser.add_argument('--stopping_rounds', type=int, default=10, help='rounds of early stopping')
  parser.add_argument('--verbose', type=int, default=1, help='verbose')
  parser.add_argument('--seed', type=int, default=1, help='random seed')
  args = parser.parse_args()
  
  return args
